Prediction and optimization in a dynamic environment: a case study

Author

Schmidt, Martin ; Michalewicz, Zbigniew ; Michalewicz, Matthew ; Chiriac, Constantin

Author_Institution

SolvelT Software, Adelaide, SA

Volume

1

fYear

2005

fDate

5-5 Sept. 2005

Firstpage

781

Abstract

This application-oriented paper presents a particular case study: a general description of the design and implementation of an intelligent system for one of the world´s largest car manufacturers. The presented optimization problem was very challenging, as it included many prediction and optimization elements. The system was installed as a full production system in 2002, and has been used since then to recommend the best distribution of cars on a daily basis. The system improves profits by hundreds of millions of dollars (USD) per year. This significant return on investment was possible only by combining prediction, optimization, and adaptation techniques into one integrated system

Keywords

automobile manufacture; automobiles; optimisation; adaptation techniques; car manufacturer; dynamic environment; integrated system; intelligent system; optimization problem; return on investment; Application software; Artificial intelligence; Australia; Companies; Computer aided software engineering; Intelligent manufacturing systems; Intelligent systems; Investments; Management information systems; Warehousing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2005. The 2005 IEEE Congress on

Conference_Location

Edinburgh, Scotland

Print_ISBN

0-7803-9363-5

Type

conf

DOI

10.1109/CEC.2005.1554762

Filename

1554762